gilbert_meta_99

99,825 responses from 6,737 respondents to 7 items.

About this table

Descriptionreligiosity
ReferenceAlfonsi, L., Bauer, M., Chytilová, J., & Miguel, E. (2024). Human capital affects religious identity: Causal evidence from Kenya. Journal of Development Economics, 167, 103215.
DOI10.1016/j.jdeveco.2023.103215
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ZFZI3I

Size and shape

Responses99,825
Respondents6,737
Items7
Response categories4
Responses per respondent14.817
Responses per item14260.714
Density2.117
LongitudinalTRUE

Classification

age rangeMixed
child age (for child-focused studies)Child (6-12y)
sampleTargeted/specific
construct typeOpinion/attitude
measurement toolObservational rating
item formatMixed
primary language(s)ken
construct nameHuman capital affects religious identity: Causal evidence from Kenya

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

Instrumentreligiosity
Mean words per item15.562
Mean characters per item86.750
Mean characters per response5.125
Flesch-Kincaid grade level7.960

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gilbert_meta_99.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
cluster_idIRW standard The group a focal unit is nested in — classroom, teacher, school.con_psdpsch98
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).pupid
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
treatIRW standard Treatment group assignment in experimental studies.psdp_treat
waveIRW standard Longitudinal wave indicator.survey_round
Respondent covariates
cov_12_or_youngerCovariate younger
cov_femaleCovariate female

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_99")
# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_99")

How to cite

@article{Alfonsi_2024, title={Human capital affects religious identity: Causal evidence from Kenya}, volume={167}, ISSN={0304-3878}, url={http://dx.doi.org/10.1016/j.jdeveco.2023.103215}, DOI={10.1016/j.jdeveco.2023.103215}, journal={Journal of Development Economics}, publisher={Elsevier BV}, author={Alfonsi, Livia and Bauer, Michal and Chytilová, Julie and Miguel, Edward}, year={2024}, month=mar, pages={103215} }

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse v71.0
Redivis dataset DOI10.57761/f5n4-k797
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v43.0